Lead Digital Product Manager

As a Lead Digital Product Manager at Optum Real, you will be responsible for owning the development of AI-enabled products from inception to scale. Your role will involve combining product leadership with deep technical fluency to define success metrics, lead experimentation, and translate insights into product decisions. You will collaborate with data science and engineering teams to design, build, and scale AI-powered products, including generative AI and LLMs. Your primary responsibilities will include: - Lead the full product lifecycle for AI-enabled solutions - from discovery and requirements to prototyping, delivery, and optimization - Collaborate with data science and engineering teams to design, build, and scale AI-powered products, including generative AI and LLMs - Own product architecture and model evaluation frameworks, telemetry, and instrumentation - Define and drive KPI frameworks and establish data contracts with engineering - Translate customer problems and market signals into product strategies, roadmaps, and narratives - Run experiments with statistically sound methodologies and communicate insights to executives - Build scalable analytics and reporting infrastructure, including dashboards and deep-dive analyses - Ensure compliance with governance processes and maintain clear documentation - Drive cross-functional execution and contribute to product culture through crisp writing and outcomes orientation In order to be considered for this role, you must meet the following qualifications: - Advanced degree in a quantitative discipline - 7+ years of total professional experience - 3+ years of experience in data science or machine learning - 2+ years of the last 5 years must include hands-on experience in DS/ML - Experience building AI-enabled products, including generative AI and LLMs - Experience creating dashboards and business reviews using BI tools - Solid product thinking with experience defining metrics, instrumentation, and telemetry - Proficiency in Python and SQL for data analysis, modeling, and prototyping - Demonstrated ability to lead experimentation and interpret results for product decisions - Demonstrated solid communication and cross-functional collaboration skills Preferred qualifications for this role include: - Experience in the healthcare domain - Experience with applied analytics and ML productization - Solid project management skills and experience in cross-functional environments - Background in enterprise integrations, data interoperability, and event-driven architectures - Proven product writing (PRDs, PR/FAQs, business cases) and stakeholder communication - Demonstrated cross-functional leadership with engineering, data science, design, and operations Join Optum Real and be part of a transformative journey in revenue cycle management through AI and machine learning, making a meaningful impact on the healthcare ecosystem. As a Lead Digital Product Manager at Optum Real, you will be responsible for owning the development of AI-enabled products from inception to scale. Your role will involve combining product leadership with deep technical fluency to define success metrics, lead experimentation, and translate insights into product decisions. You will collaborate with data science and engineering teams to design, build, and scale AI-powered products, including generative AI and LLMs. Your primary responsibilities will include: - Lead the full product lifecycle for AI-enabled solutions - from discovery and requirements to prototyping, delivery, and optimization - Collaborate with data science and engineering teams to design, build, and scale AI-powered products, including generative AI and LLMs - Own product architecture and model evaluation frameworks, telemetry, and instrumentation - Define and drive KPI frameworks and establish data contracts with engineering - Translate customer problems and market signals into product strategies, roadmaps, and narratives - Run experiments with statistically sound methodologies and communicate insights to executives - Build scalable analytics and reporting infrastructure, including dashboards and deep-dive analyses - Ensure compliance with governance processes and maintain clear documentation - Drive cross-functional execution and contribute to product culture through crisp writing and outcomes orientation In order to be considered for this role, you must meet the following qualifications: - Advanced degree in a quantitative discipline - 7+ years of total professional experience - 3+ years of experience in data science or machine learning - 2+ years of the last 5 years must include hands-on experience in DS/ML - Experience building AI-enabled products, including generative AI and LLMs - Experience creating dashboards and business reviews using BI tools - Solid product thinking with experience defining metrics, instrumentation, and telemetry - Proficiency in Python and SQL for data analysis, modeling, and prototyping - Demons